Yohan Noh
Impact in
- Biomedical Engineering top 2%
- Soft Robotics and Applications
- Advanced Sensor and Energy Harvesting Materials
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- Robot Manipulation and Learning
Papers in
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- Soft Robotics and Applications 50
- Advanced Sensor and Energy Harvesting Materials 13
- Advanced Surface Polishing Techniques 6
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- Airway Management and Intubation Techniques 12
- Co-authors
- Kaspar A. Althoefer (39 shared papers)Helge Arne Wurdemann (20 shared papers)Sina Sareh (15 shared papers)Hongbin Liu (21 shared papers)Thrishantha Nanayakkara (10 shared papers)Angela Faragasso (7 shared papers)Agostino Stilli (5 shared papers)Damith Suresh Chathuranga (7 shared papers)
- Journals
- IEEE Sensors Journal (7 papers)Journal of Visualized Experiments (2 papers)IEEE Robotics and Automation Letters (2 papers)Applied Sciences (2 papers)Materials Letters (1 paper)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Yohan Noh
94 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 112
- Biomedical Engineering 1.6k
- Control and Systems Engineering 528
- Condensed Matter Physics 251
- Mechanical Engineering 488
- Cognitive Neuroscience 241
Countries citing papers authored by Yohan Noh
This map shows the geographic impact of Yohan Noh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yohan Noh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yohan Noh more than expected).
Fields of papers citing papers by Yohan Noh
This network shows the impact of papers produced by Yohan Noh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yohan Noh. The network helps show where Yohan Noh may publish in the future.
Co-authors
The 25 scholars most cited alongside Yohan Noh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 183 | |
| 2 | 2015 | 135 | |
| 3 | 2017 | 107 | |
| 4 | 2015 | 94 | |
| 5 | 2016 | 80 | |
| 6 | 2017 | 69 | |
| 7 | 2014 | 66 | |
| 8 | 2016 | 60 | |
| 9 | 2017 | 59 | |
| 10 | 2016 | 56 | |
| 11 | 2014 | 55 | |
| 12 | 2017 | 51 | |
| 13 | 2018 | 49 | |
| 14 | 2015 | 48 | |
| 15 | 2015 | 45 | |
| 16 | 2016 | 43 | |
| 17 | 2019 | 39 | |
| 18 | 2019 | 38 | |
| 19 | 2017 | 38 | |
| 20 | 2014 | 36 |
About Yohan Noh
Yohan Noh is a scholar working on Biomedical Engineering, Anesthesiology and Pain Medicine, Control and Systems Engineering, Cognitive Neuroscience and Mechanical Engineering, having authored 97 papers that have together received 2.2k indexed citations. Recurring topics across this work include Soft Robotics and Applications (50 papers), Robot Manipulation and Learning (23 papers), Advanced Sensor and Energy Harvesting Materials (13 papers), Airway Management and Intubation Techniques (12 papers), Tactile and Sensory Interactions (12 papers), Surgical Simulation and Training (9 papers), Teleoperation and Haptic Systems (9 papers) and Advanced Surface Polishing Techniques (6 papers). The work is most often cited by research in Biomedical Engineering (1.6k citations), Control and Systems Engineering (528 citations), Condensed Matter Physics (251 citations), Mechanical Engineering (488 citations) and Cognitive Neuroscience (241 citations). Yohan Noh has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Kaspar A. Althoefer, Helge Arne Wurdemann, Sina Sareh, Hongbin Liu, Thrishantha Nanayakkara, Angela Faragasso, Agostino Stilli, Damith Suresh Chathuranga, Jan Fraś and Kawal Rhode. Their work appears in journals such as IEEE Sensors Journal, Journal of Visualized Experiments, IEEE Robotics and Automation Letters, Applied Sciences and Materials Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.